dsh-balance-stats
Run the following command in DeepSeek Harness:
dsh plugin install pangzi499/dsh-balance-stats
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, install the plugin with the command 'dsh plugin install pangzi499/dsh-balance-stats' from the GitHub source at https://github.com/pangzi499/dsh-balance-stats.
About this plugin
When using DeepSeek Harness for AI conversations, developers often struggle to track API costs in real time, which can lead to budget overruns or opaque expense management. The dsh-balance-stats plugin addresses this by embedding a concise statistics bar below the conversation interface, displaying current balance, session cost, and total expenditure at a glance. Clicking the bar reveals an interactive details card that offers deep insights, including balance composition, local usage estimates, model-level spending, token usage, and historical billing summaries, making every consumption transparent and traceable.
The plugin's core strength lies in its multi-source data integration and flexible import capabilities: it automatically fetches real-time balance from the DeepSeek platform API while estimating session costs based on Harness local logs. Users can also import invoice data—either automatically via token or manually via JSON—to obtain more accurate official billing records. All statistics support caching and resilience, ensuring a smooth experience even if requests fail by retaining historical data.
dsh-balance-stats is ideal for DeepSeek Harness users who need fine-grained control over AI service expenses, such as independent developers, data science teams, or financial administrators. Whether you want to avoid unexpected overruns or provide usage reports for projects, this plugin seamlessly integrates into your workflow, making cost management simple and efficient.
Screenshots
Use Cases
- Monitor API call balance and costs in DeepSeek Harness in real time.
- Generate accurate financial summary reports by importing invoice data.
- Avoid unexpected overruns and optimize budget allocation during development.
Best For
- Independent developers tracking personal API usage expenses.
- Data science teams managing AI project budgets.
- Financial or operations personnel auditing service fees and usage.
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